Access Control with Encrypted Feature Maps for Object Detection Models. (arXiv:2209.14831v1 [cs.CV])

In this paper, we propose an access control method with a secret key for
object detection models for the first time so that unauthorized users without a
secret key cannot benefit from the performance of trained models. The method
enables us not only to provide a high detection performance to authorized users
but to also degrade the performance for unauthorized users. The use of
transformed images was proposed for the access control of image classification
models, but these images cannot …

access access control control detection encrypted object